1.

Record Nr.

UNINA9910220105303321

Autore

Dertouzos James N. <1950->

Titolo

Performance evaluation and Army recruiting [[electronic resource] /] / James N. Dertouzos, Steven Garber

Pubbl/distr/stampa

Santa Monica, CA, : Rand Arroyo Center, 2008

ISBN

1-281-73644-9

9786611736446

0-8330-4582-2

Edizione

[1st ed.]

Descrizione fisica

1 online resource (127 p.)

Collana

Rand Corporation monograph series

Altri autori (Persone)

GarberSteven <1950->

Disciplina

355.2/23

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"MG-562-A"--P. [4] of cover.

Nota di bibliografia

Includes bibliographical references (p. [101]).

Nota di contenuto

Cover; Preface; Contents; Figure and Tables; Summary; Acknowledgments; Abbreviations; Chapter One - Introduction; Chapter Two - Models of Recruiter Effort, Market Quality, andEnlistment Supply; A Model with a Single Type of Contract; A Model Distinguishing the Three Missioned ContractTypes; A Conceptually Grounded, Econometrically BasedPerformance Measure; Chapter Three - Data and Econometric Estimates of Contract-Production Models; Data; Estimates for the Graduate, Senior, and "Other" ContractModel; Estimates for a Model Distinguishing Men and Women

Chapter Four - Empirical Analysis of Performance MeasuresChapter Five - Choosing Performance Windows andOrganizational Units for Evaluation; Using the Performance Window to Control for RandomOutcomes; The Use of Station Versus Individual PerformanceEvaluation; Chapter Six - Conclusions; Summary of Results; Implications for Policy; Appendix A - Allocation of Recruiter Effort: Implications of aMicroeconomic Model; Appendix B - Recruiter Behavior in the Face of Risk; References

Sommario/riassunto

Designing and implementing performance metrics that support Army goals requires analysis of how different metrics would affect recruiter behavior and, in turn, recruiters' contributions toward achieving the Army's goals. The authors evaluate traditional performance metrics, such as number of contracts signed per month per recruiter, and find



that they do not adequately measure recruiter effort, skill, and productivity. They then develop a ""preferred performance metric"" that takes into account the difficulty of recruiting different types of youth in various markets. Using a performance metric